Document Type

Conference Proceeding

Publisher

IEEE

Faculty

Computing, Health and Science

School

School of Computer & Security Science

RAS ID

10100

Comments

This article was originally published as: Hingston, P. F. (2010). Evolving Group Strategies for IPD. Proceedings of IEEE Congress on Evolutionary Computation. (pp. 2414-2420). . Barcelona International Convention Centre, Barcelona, Spain. IEEE. Original article available here

© 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Abstract

The Iterated Prisoners Dilemma (IPD) is often used to model cooperation between self-interested agents. In an earlier study, we introduced a framework using IPD to study the effects of species-level competition on the evolution of cooperative behaviour. In this paper, we extend the previous work, using co-evolutionary simulations of interactions between species of IPD-playing agents to investigate how group strategies may evolve. We find that the ability to cooperate more with agents of the same species greatly increases the ferocity of competition between species.

DOI

10.1109/CEC.2010.5586197

Access Rights

free_to_read

 
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Link to publisher version (DOI)

10.1109/CEC.2010.5586197